Senior Embedded Software Engineer, Automotive AI

Wayve; City Of London; Hybrid; GBP 120,000 - 150,000; Full time

Benefits offered by this job

Equity

Relocation support

Visa sponsorship

Hybrid working

Health insurance

Learning budget

Job summary

Wayve is seeking a Staff Software Engineer to lead embedded automotive software integration for our AI Driver across vehicle platforms and onboard systems. You’ll own design and validation from early concepts through integration and release, working closely with autonomy, hardware, vehicle programmes and product teams.

You will contribute to architecture, improve software quality, and drive reusable practices across platforms while leveraging simulation, HIL testing and real-world vehicle data.

Qualifications

• Essential: a bachelor’s or master’s degree in Computer Science, Electrical, Automotive Engineering or a related technical discipline, or equivalent practical experience.
• Essential: strong software engineering experience in modern C++, with a track record of delivering production-quality software.
• Essential: experience developing embedded or systems software, ideally on Nvidia and Qualcomm platforms with Linux/QNX.
• Essential: experience with Linux-based platforms.
• Essential: experience with system architecture and designing software components, APIs or interfaces for complex systems.
• Essential: strong understanding of software quality practices, including testing, debugging, code review and maintainability.
• Essential: experience diagnosing problems across component or system boundaries.
• Essential: ability to work with technical partners to clarify requirements and make progress in ambiguous situations.
• Essential: clear communication and collaboration skills, including working across teams and locations.
• Essential: a practical, ownership-minded approach, so you can take a complex problem from investigation through implementation and validation.
• Desirable: experience in autonomous driving, automotive, robotics or another real-time, safety-related domain.
• Desirable: familiarity with vehicle software, middleware, sensors, actuators or vehicle communication protocols.
• Desirable: experience integrating machine-learning inference or other compute-intensive workloads on embedded hardware.
• Desirable: familiarity with AV stack components like navigation, state estimation or driver-interaction systems.
• Desirable: experience with simulation, hardware-in-the-loop testing or vehicle testing.
• Desirable: familiarity with automotive software development processes, including ASPICE or similar practices.
• Desirable: experience supporting software across multiple hardware platforms or vehicle programmes.

Responsibilities

• Design, build and maintain embedded software that integrates Wayve’s AI Driver with vehicle platforms and onboard systems.
• Develop and evolve interfaces between AI capabilities, vehicle software and platform-specific components.
• Work across areas such as inference integration, vehicle data, navigation, localisation, odometry, driver interaction and motion control interfaces.
• Collaborate with engineers across autonomy, hardware, vehicle programmes and product to clarify requirements and resolve integration issues.
• Take features from technical design through implementation, testing, vehicle integration and release.
• Diagnose and resolve issues using simulation, hardware-in-the-loop, vehicle testing, logs and performance data.
• Contribute to architecture and engineering practices that support reuse across vehicle platforms and programmes.
• Use AI development tools where they can improve engineering productivity and software quality.

Skills

C++ (modern)

Linux

Communication

Debugging

Team collaboration

Education

Bachelor’s or Master’s in CS/EE/Automotive Eng

Tools

NVIDIA platforms

Qualcomm platforms

Job description

Wayve is seeking a Staff Software Engineer to lead embedded automotive software integration for our AI Driver across vehicle platforms and onboard systems. You’ll own design and validation from early concepts through integration and release, working closely with autonomy, hardware, vehicle programmes and product teams.

You will contribute to architecture, improve software quality, and drive reusable practices across platforms while leveraging simulation, HIL testing and real-world vehicle data.